title: Fusing DTI and fMRI data: a survey of methods and applications.
abstract: The relationship between brain structure and function has been one of the centers of research in neuroimaging for decades. In recent years, diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) techniques have been widely available and popular in cognitive and clinical neurosciences for examining the brain's white matter (WM) micro-structures and gray matter (GM) functions, respectively. Given the intrinsic integration of WM/GM and the complementary information embedded in DTI/fMRI data, it is natural and well-justified to combine these two neuroimaging modalities together to investigate brain structure and function and their relationships simultaneously. In the past decade, there have been remarkable achievements of DTI/fMRI fusion methods and applications in neuroimaging and human brain mapping community. This survey paper aims to review recent advancements on methodologies and applications in incorporating multimodal DTI and fMRI data, and offer our perspectives on future research directions. We envision that effective fusion of DTI/fMRI techniques will play increasingly important roles in neuroimaging and brain sciences in the years to come.
authors.affiliation: Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA.
authors.forename: Dajiang
authors.initials: D
authors.lastname: Zhu
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Tuo
authors.initials: T
authors.lastname: Zhang
authors.affiliation: Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA.
authors.forename: Xi
authors.initials: X
authors.lastname: Jiang
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Xintao
authors.initials: X
authors.lastname: Hu
authors.affiliation: Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA.
authors.forename: Hanbo
authors.initials: H
authors.lastname: Chen
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Yang
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Jinglei
authors.initials: J
authors.lastname: Lv
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Junwei
authors.initials: J
authors.lastname: Han
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Guo
authors.affiliation: Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, The University of Georgia, Athens, GA, USA; BioImaging Research Center, The University of Georgia, Athens, GA, USA.
authors.forename: Tianming
authors.initials: T
authors.lastname: Liu
mesh_terms: D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D056324:Diffusion Tensor Imaging; D006801:Humans; D008279:Magnetic Resonance Imaging; D064847:Multimodal Imaging; D059906:Neuroimaging / Q000379:methods